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OBJECTIVE: To review existing literature evaluating barriers and facilitators to the use of personal protective equipment (PPE) by health care workers in long-term care (LTC). DESIGN: Scoping review. SETTING AND PARTICIPANTS: Health care workers in LTC settings. METHODS: Several online databases were searched and a gray literature search was conducted. Study inclusion criteria were (1) conducted in nursing homes or LTC settings, (2) focused on LTC health care workers as the study population, and (3) identified barriers and/or facilitators to PPE use. The Theoretical Domains Framework (TDF), which assesses barriers to implementation across 14 behavioral change domains, was used to extract and organize data about barriers and facilitators to appropriate use of PPE from the included studies. RESULTS: A total of 5216 references were screened for eligibility and 10 studies were included in this review. Eight of the 10 studies were conducted during the COVID-19 pandemic. Several barriers and facilitators to PPE use were identified. The most common TDF domain identified was environmental context and resources, which was observed in 9 of the 10 studies. Common barriers to PPE use included supply issues (n = 7 studies), the cost of acquisition (n = 3 studies), unclear guidelines on appropriate use of PPE (n = 2 studies), difficulty providing care (n = 2 studies), and anxiety about frightening patients (n = 2 studies). Having PPE readily available facilitated the use of PPE (n = 2 studies). CONCLUSIONS AND IMPLICATIONS: Further research is necessary to identify barriers and facilitators more extensively across behavior change domains to develop effective strategies to improve PPE use and prevent infection transmission within LTC.
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COVID-19 , Humanos , Pandemias/prevención & control , Cuidados a Largo Plazo , Equipo de Protección Personal , Personal de SaludRESUMEN
OBJECTIVE: To determine the attributable cost and length of stay of hospital-acquired Clostridioides difficile infection (HA-CDI) from the healthcare payer perspective using linked clinical, administrative, and microcosting data. DESIGN: A retrospective, population-based, propensity-score-matched cohort study. SETTING: Acute-care facilities in Alberta, Canada. PATIENTS: Admitted adult (≥18 years) patients with incident HA-CDI and without CDI between April 1, 2012, and March 31, 2016. METHODS: Incident cases of HA-CDI were identified using a clinical surveillance definition. Cases were matched to noncases of CDI (those without a positive C. difficile test or without clinical CDI) on propensity score and exposure time. The outcomes were attributable costs and length of stay of the hospitalization where the CDI was identified. Costs were expressed in 2018 Canadian dollars. RESULTS: Of the 2,916 HA-CDI cases at facilities with microcosting data available, 98.4% were matched to 13,024 noncases of CDI. The total adjusted cost among HA-CDI cases was 27% greater than noncases of CDI (ratio, 1.27; 95% confidence interval [CI], 1.21-1.33). The mean attributable cost was $18,386 (CAD 2018; USD $14,190; 95% CI, $14,312-$22,460; USD $11,046-$17,334). The adjusted length of stay among HA-CDI cases was 13% greater than for noncases of CDI (ratio, 1.13; 95% CI, 1.07-1.19), which corresponds to an extra 5.6 days (95% CI, 3.10-8.06) in length of hospital stay per HA-CDI case. CONCLUSIONS: In this population-based, propensity score matched analysis using microcosting data, HA-CDI was associated with substantial attributable cost.
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Infecciones por Clostridium/economía , Infecciones por Clostridium/epidemiología , Infección Hospitalaria/economía , Infección Hospitalaria/epidemiología , Tiempo de Internación/economía , Adolescente , Adulto , Distribución por Edad , Anciano , Anciano de 80 o más Años , Alberta/epidemiología , Clostridioides difficile/aislamiento & purificación , Femenino , Costos de la Atención en Salud , Humanos , Modelos Logísticos , Masculino , Persona de Mediana Edad , Puntaje de Propensión , Estudios Retrospectivos , Distribución por Sexo , Adulto JovenRESUMEN
BACKGROUND: The rates of antimicrobial-resistant organisms (ARO) continue to increase for both hospitalized and community patients. Few resources have been allocated to reduce the spread of resistance on global, national and local levels, in part because the broader economic impact of antimicrobial resistance (i.e. the externality) is not fully considered when determining how much to invest to prevent AROs, including strategies to contain antimicrobial resistance, such as antimicrobial stewardship programs. To determine how best to measure and incorporate the impact of externalities associated with the antimicrobial resistance when making resource allocation decisions aimed to reduce antimicrobial resistance within healthcare facilities, we reviewed the literature to identify publications which 1) described the externalities of antimicrobial resistance, 2) described approaches to quantifying the externalities associated with antimicrobial resistance or 3) described macro-level policy options to consider the impact of externalities. Medline was reviewed to identify published studies up to September 2016. MAIN BODY: An externality is a cost or a benefit associated with one person's activity that impacts others who did not choose to incur that cost or benefit. We did not identify a well-accepted method of accurately quantifying the externality associated with antimicrobial resistance. We did identify three main methods that have gained popularity to try to take into account the externalities of antimicrobial resistance, including regulation, charges or taxes on the use of antimicrobials, and the right to trade permits or licenses for antimicrobial use. To our knowledge, regulating use of antimicrobials is the only strategy currently being used by health care systems to reduce antimicrobial use, and thereby reduce AROs. To justify expenditures on programs that reduce AROs (i.e. to formally incorporate the impact of the negative externality of antimicrobial resistance associated with antimicrobial use), we propose an alternative approach that quantifies the externalities of antimicrobial use, combining the attributable cost of AROs with time-series analyses showing the relationship between antimicrobial utilization and incidence of AROs. CONCLUSION: Based on the findings of this review, we propose a methodology that healthcare organizations can use to incorporate the impact of negative externalities when making resource allocation decisions on strategies to reduce AROs.
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Background. Electronic surveillance systems (ESSs) that utilize existing information in databases are more efficient than conventional infection surveillance methods. The objective was to assess an ESS for bloodstream infections (BSIs) in the Calgary Zone for its agreement with traditional medical record review. Methods. The ESS was developed by linking related data from regional laboratory and hospital administrative databases and using set definitions for excluding contaminants and duplicate isolates. Infections were classified as hospital-acquired (HA), healthcare-associated community-onset (HCA), or community-acquired (CA). A random sample of patients from the ESS was then compared with independent medical record review. Results. Among the 308 patients selected for comparative review, the ESS identified 318 episodes of BSI of which 130 (40.9%) were CA, 98 (30.8%) were HCA, and 90 (28.3%) were HA. Medical record review identified 313 episodes of which 136 (43.4%) were CA, 97 (30.9%) were HCA, and 80 (25.6%) were HA. Episodes of BSI were concordant in 304 (97%) cases. Overall, there was 85.5% agreement between ESS and medical record review for the classification of where BSIs were acquired (kappa = 0.78, 95% Confidence Interval: 0.75-0.80). Conclusion. This novel ESS identified and classified BSIs with a high degree of accuracy. This system requires additional linkages with other related databases.
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OBJECTIVE To conduct a full economic evaluation assessing the costs and consequences related to probiotic use for the primary prevention of Clostridium difficile-associated diarrhea (CDAD). DESIGN Cost-effectiveness analysis using decision analytic modeling. METHODS A cost-effectiveness analysis was used to evaluate the risk of CDAD and the costs of receiving oral probiotics versus not over a time horizon of 30 days. The target population modeled was all adult inpatients receiving any therapeutic course of antibiotics from a publicly funded healthcare system perspective. Effectiveness estimates were based on a recent systematic review of probiotics for the primary prevention of CDAD. Additional estimates came from local data and the literature. Sensitivity analyses were conducted to assess how plausible changes in variables impacted the results. RESULTS Treatment with oral probiotics led to direct costs of CDN $24 per course of treatment per patient. On average, patients treated with oral probiotics had a lower overall cost compared with usual care (CDN $327 vs $845). The risk of CDAD was reduced from 5.5% in those not receiving oral probiotics to 2% in those receiving oral probiotics. These results were robust to plausible variation in all estimates. CONCLUSIONS Oral probiotics as a preventive strategy for CDAD resulted in a lower risk of CDAD as well as cost-savings. The cost-savings may be greater in other healthcare systems that experience a higher incidence and cost associated with CDAD. Infect Control Hosp Epidemiol 2016;37:1079-1086.
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Clostridioides difficile , Diarrea/prevención & control , Enterocolitis Seudomembranosa/complicaciones , Tiempo de Internación/estadística & datos numéricos , Probióticos/economía , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Canadá , Ahorro de Costo , Análisis Costo-Beneficio , Interpretación Estadística de Datos , Diarrea/microbiología , Femenino , Humanos , Masculino , Persona de Mediana Edad , Probióticos/uso terapéutico , Ensayos Clínicos Controlados Aleatorios como Asunto , Adulto JovenRESUMEN
BACKGROUND: Bloodstream infections (BSI) have been traditionally classified as either community acquired (CA) or hospital acquired (HA) in origin. However, a third category of healthcare-associated (HCA) community onset disease has been increasingly recognized. The objective of this study was to compare and contrast characteristics of HCA-BSI with CA-BSI and HA-BSI. METHODS: All first episodes of BSI occurring among adults admitted to hospitals in a large health region in Canada during 2000-2007 were identified from regional databases. Cases were classified using a series of validated algorithms into one of HA-BSI, HCA-BSI, or CA-BSI and compared on a number of epidemiologic, microbiologic, and outcome characteristics. RESULTS: A total of 7,712 patients were included; 2,132 (28%) had HA-BSI, 2,492 (32%) HCA-BSI, and 3,088 (40%) had CA-BSI. Patients with CA-BSI were significantly younger and less likely to have co-morbid medical illnesses than patients with HCA-BSI or HA-BSI (p < 0.001). The proportion of cases in males was higher for HA-BSI (60%; p < 0.001 vs. others) as compared to HCA-BSI or CA-BSI (52% and 54%; p = 0.13). The proportion of cases that had a poly-microbial etiology was significantly lower for CA-BSI (5.5%; p < 0.001) compared to both HA and HCA (8.6 vs. 8.3%). The median length of stay following BSI diagnosis 15 days for HA, 9 days for HCA, and 8 days for CA (p < 0.001). Overall the most common species causing bloodstream infection were Escherichia coli, Staphylococcus aureus, and Streptococcus pneumoniae. The distribution and relative rank of importance of these species varied according to classification of acquisition. Twenty eight day all cause case-fatality rates were 26%, 19%, and 10% for HA-BSI, HCA-BSI, and CA-BSI, respectively (p < 0.001). CONCLUSION: Healthcare-associated community onset infections are distinctly different from CA and HA infections based on a number of epidemiologic, microbiologic, and outcome characteristics. This study adds further support for the classification of community onset BSI into separate CA and HCA categories.